Wasserstein barycenter research for images

Optimal transport for comparing short brain connectivity between individuals | Optimal transport | Wasserstein distance | Barycenter | K-medoids | Isomap| Sulcus | Brain

MXNet/Gluon implementation of Wasserstein Auto-Encoders (WAE)

Implementation and results from "Beyond GOTEX: Using Multiple Feature Detectors for Better Texture Synthesis"

Demonstration of Wasserstein GAN. Using Earth Mover's distance to measure similarity between two distributions

Employing Optimal Transport metrics for Point Cloud Registration

Code for "Fixed Support Tree-Sliced Wasserstein Barycenter"

Code for our TMLR '24 Journal: MMD-Regularized UOT.

TensorFlow implementation of Wasserstein GAN (WGAN) with MNIST dataset.

Julia interface for the Python Optimal Transport (POT) library

Variational Optimal Transportation

Pytorch Implementation for Topic Modeling with Wasserstein Autoencoders

Dot Lib

Python package for the ICML 2022 paper "Unsupervised Ground Metric Learning Using Wasserstein Singular Vectors".

Improving word mover’s distance by leveraging self-attention matrix

Optimal Transport and Optimization related experiments.

Sparse simplex projection-based Wasserstein k-means

Source code for "Training Generative Adversarial Networks Via Turing Test".

code for "Determining Gains Acquired from Word Embedding Quantitatively Using Discrete Distribution Clustering" ACL 2017

GANs Implementations in Keras